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Correlation-based Adaptive Pilot Pattern in Control/Data Separation Architecture

Onireti, OS, Mohamed, A, Imran, MA and Tafazolli, R (2015) Correlation-based Adaptive Pilot Pattern in Control/Data Separation Architecture In: IEEE International Conference on Communications, 2015-06-08 - 2015-06-12, London.

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Abstract

Most of the wireless systems such as the long term evolution (LTE) adopt a pilot symbol-aided channel estimation approach for data detection purposes. In this technique, some of the transmission resources are allocated to common pilot signals which constitute a significant overhead in current standards. This can be traced to the worst-case design approach adopted in these systems where the pilot spacing is chosen based on extreme condition assumptions. This suggests extending the set of the parameters that can be adaptively adjusted to include the pilot density. In this paper, we propose an adaptive pilot pattern scheme that depends on estimating the channel correlation. A new system architecture with a logical separation between control and data planes is considered and orthogonal frequency division multiplexing (OFDM) is chosen as the access technique. Simulation results show that the proposed scheme can provide a significant saving of the LTE pilot overhead with a marginal performance penalty.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Communication Systems Research
Authors :
AuthorsEmailORCID
Onireti, OSUNSPECIFIEDUNSPECIFIED
Mohamed, AUNSPECIFIEDUNSPECIFIED
Imran, MAUNSPECIFIEDUNSPECIFIED
Tafazolli, RUNSPECIFIEDUNSPECIFIED
Date : 8 June 2015
Identification Number : 10.1109/ICC.2015.7248657
Additional Information : (c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Depositing User : Symplectic Elements
Date Deposited : 16 Sep 2015 10:31
Last Modified : 16 Sep 2015 10:31
URI: http://epubs.surrey.ac.uk/id/eprint/807435

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